An improved result on global robust exponential stability of neural networks with time-varying delays
In this paper, by constructing a proper Lyapunov function and using nonnegative matrix theory, we analyze the global robust exponential stability of a class of interval neural networks with time-varying delays. A new sufficient condition for the existence, uniqueness and global robust exponential stability of the equilibrium point for the delayed neural networks is presented. It is also shown that the obtained result includes a previously published result as a special case. Finally, a simulation is given to show the effectiveness of our result.
Author's Name: Shao, J., Huang, T.
Volume: Volume 8
Issues: Issue 23
Keywords: Global Robust Exponential Stability, Neural Networks, Time-varying Delays